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📊RapidUndistort

SemVer2.0GitHub

English | 简体中文

最近更新

  • 2024.11.15
    • 完成初版代码，转换 UVDoc 模型为onnx,完善前后处理
  • 2024.12.15
    • 补充去模糊/去阴影/二值化的功能和模型，重新升级为 RapidUndistort

简介

本仓库用于进行文档扭曲的修正/文档去模糊/文档去阴影/文档二值化等问题 \ 提供多种模型和自由组合选择task，支持模型自动下载
原始pytorch模型来源参考 致谢
快速使用使用建议参数说明模型地址

在线体验

modelscopehuggingface

效果展示

res_show.jpgres_show1.jpg

安装

# 建议使用清华源安装 https://pypi.tuna.tsinghua.edu.cn/simplepipinstallrapid-undistorted

快速使用

importcv2fromrapid_undistorted.inferenceimportInferenceEngineimg_path="img/demo.jpg"engine=InferenceEngine()
# 扭曲修正->去阴影->去模糊 (指定去模糊模型)output_img, elapse=engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
# 去阴影->去模糊 (指定去模糊模型)#output_img, elapse = engine(img_path, ["unshadow", ("unblur", "OpenCvBilateral")])# 默认选择yaml配置文件中第一个unblur模型#output_img, elapse = engine(img_path, ["unshadow", "unblur"])# 二值化替代去阴影方法#output_img, elapse = engine(img_path, ["unwrap", "binarize", "unblur"])print(f"doc unwrap elapse:{elapse}")
cv2.imwrite("result.png", output_img)

使用建议

  • 去模糊 NAFDPM 模型和直接使用opencv方法都有适用的情况,最好还是在线实际测试为准
  • 去阴影模型相对于二值化功能更丰富，效果更好，不建议直接使用二值化方法

参数说明

初始化参数

支持传入一个config配置文件，声明需要的task类型和对应的模型，以及model path

config_path="configs/config.yaml"engine=InferenceEngine(config_path)
tasks:
unwrap:
models:
- type: "UVDoc"path:
use_cuda: falseunshadow:
models:
- type: "GCDnet"sub_models:
- type: "GCDnet"path:
use_cuda: falseuse_dml: false
- type: "DRnet"path:
use_cuda: falsebinarize:
models:
- type: "UnetCnn"path:
use_cuda: falseunblur:
models:
- type: "OpenCvBilateral"path:
- type: "NAFDPM"path:
use_cuda: false

执行参数

engine(img_path, task_list)
engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])

致谢

unwrap: UVDoc unshadow: GCDnet unblur: NAFDPM binarize: UnetCnn

贡献指南

欢迎提交请求。对于重大更改，请先打开issue讨论您想要改变的内容。

有其他的好建议和集成场景，作者也会积极响应支持

开源许可证

该项目采用Apache 2.0 开源许可证。

About

修正文档扭曲/模糊/阴影等情况，使用onnx模型简单轻量部署，未来持续跟进最新最好的文档矫正方案和模型,Correct document distortion using a lightweight ONNX model for easy deployment. We will continue to follow and integrate the latest and best document correction solutions and models in the future.

Resources

Readme
Activity
Custom properties

Stars

107 stars

Watchers

3 watching

Forks

10 forks
Report repository

Releases

Packages

Used by

Contributors

Languages

, 'i'); if (__m === '*' || __re.test(location.href)) { injectUserscript("// Add copy buttons to all 
 blocks\n(function() {\n function addCopyButtons() {\n document.querySelectorAll('pre code').forEach(function(codeBlock) {\n if (codeBlock.parentElement.hasAttribute('data-copy-added')) return;\n codeBlock.parentElement.setAttribute('data-copy-added', 'true');\n \n var btn = document.createElement('button');\n btn.textContent = 'Copy';\n btn.style.cssText = 'position:absolute;top:4px;right:4px;padding:2px 8px;font-size:11px;background:#4ecdc4;border:none;border-radius:4px;color:#1a1a2e;cursor:pointer;opacity:0.7;transition:opacity 0.2s;';\n btn.onmouseover = function() { this.style.opacity = '1'; };\n btn.onmouseout = function() { this.style.opacity = '0.7'; };\n btn.onclick = function() {\n navigator.clipboard.writeText(codeBlock.textContent).then(function() {\n btn.textContent = 'Copied!';\n setTimeout(function() { btn.textContent = 'Copy'; }, 1500);\n });\n };\n codeBlock.parentElement.style.position = 'relative';\n codeBlock.parentElement.appendChild(btn);\n });\n }\n \n addCopyButtons();\n \n // Re-run on dynamic content\n var observer = new MutationObserver(addCopyButtons);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Add Copy Buttons to Code Blocks");
}
} catch(__e) { console.warn('[Userscript:Add Copy Buttons to Code Blocks]', __e); }
})();
(function(){
try {
var __m = "github.com";
var __re = new RegExp('^' + "github\\.com" + '

Skip to content
BranchesTags
Repository files navigation
📊RapidUndistort
SemVer2.0GitHub
English | 简体中文
最近更新
  • 2024.11.15
    • 完成初版代码，转换 UVDoc 模型为onnx,完善前后处理
  • 2024.12.15
    • 补充去模糊/去阴影/二值化的功能和模型，重新升级为 RapidUndistort
简介
本仓库用于进行文档扭曲的修正/文档去模糊/文档去阴影/文档二值化等问题 \
提供多种模型和自由组合选择task，支持模型自动下载 

原始pytorch模型来源参考 致谢
快速使用使用建议参数说明模型地址
在线体验
modelscopehuggingface
效果展示
res_show.jpgres_show1.jpg
安装
# 建议使用清华源安装 https://pypi.tuna.tsinghua.edu.cn/simplepipinstallrapid-undistorted
快速使用
importcv2fromrapid_undistorted.inferenceimportInferenceEngineimg_path="img/demo.jpg"engine=InferenceEngine()
# 扭曲修正->去阴影->去模糊 (指定去模糊模型)output_img, elapse=engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
# 去阴影->去模糊 (指定去模糊模型)#output_img, elapse = engine(img_path, ["unshadow", ("unblur", "OpenCvBilateral")])# 默认选择yaml配置文件中第一个unblur模型#output_img, elapse = engine(img_path, ["unshadow", "unblur"])# 二值化替代去阴影方法#output_img, elapse = engine(img_path, ["unwrap", "binarize", "unblur"])print(f"doc unwrap elapse:{elapse}")
cv2.imwrite("result.png", output_img)
使用建议
  • 去模糊 NAFDPM 模型和直接使用opencv方法都有适用的情况,最好还是在线实际测试为准
  • 去阴影模型相对于二值化功能更丰富，效果更好，不建议直接使用二值化方法
参数说明
初始化参数
支持传入一个config配置文件，声明需要的task类型和对应的模型，以及model path
config_path="configs/config.yaml"engine=InferenceEngine(config_path)
tasks:
unwrap:
models:
- type: "UVDoc"path:
use_cuda: falseunshadow:
models:
- type: "GCDnet"sub_models:
- type: "GCDnet"path:
use_cuda: falseuse_dml: false
- type: "DRnet"path:
use_cuda: falsebinarize:
models:
- type: "UnetCnn"path:
use_cuda: falseunblur:
models:
- type: "OpenCvBilateral"path:
- type: "NAFDPM"path:
use_cuda: false
执行参数
engine(img_path, task_list)
engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
致谢
unwrap: UVDoc
unshadow: GCDnet
unblur: NAFDPM
binarize: UnetCnn
贡献指南
欢迎提交请求。对于重大更改，请先打开issue讨论您想要改变的内容。
有其他的好建议和集成场景，作者也会积极响应支持
开源许可证
该项目采用Apache 2.0
开源许可证。
About
修正文档扭曲/模糊/阴影等情况，使用onnx模型简单轻量部署，未来持续跟进最新最好的文档矫正方案和模型,Correct document distortion using a lightweight ONNX model for easy deployment. We will continue to follow and integrate the latest and best document correction solutions and models in the future.
Resources
Readme
Activity
Custom properties
Stars
107 stars
Watchers
3 watching
Forks
10 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Force GitHub README to respect dark mode\n(function() {\n var style = document.createElement('style');\n style.textContent = '\n .markdown-body {\n color-scheme: dark light;\n }\n .markdown-body pre { background: #161b22 !important; }\n .markdown-body code { background: rgba(110, 118, 129, 0.4) !important; }\n .markdown-body table th, .markdown-body table td { border-color: #30363d !important; }\n .markdown-body img { background: #0d1117; }\n .markdown-body blockquote { border-left-color: #8b949e; }\n .markdown-body hr { border-color: #30363d; }\n ';\n document.head.appendChild(style);\n})();", "GitHub Dark Mode README Fix");
}
} catch(__e) { console.warn('[Userscript:GitHub Dark Mode README Fix]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
📊RapidUndistort
SemVer2.0GitHub
English | 简体中文
最近更新
  • 2024.11.15
    • 完成初版代码，转换 UVDoc 模型为onnx,完善前后处理
  • 2024.12.15
    • 补充去模糊/去阴影/二值化的功能和模型，重新升级为 RapidUndistort
简介
本仓库用于进行文档扭曲的修正/文档去模糊/文档去阴影/文档二值化等问题 \
提供多种模型和自由组合选择task，支持模型自动下载 

原始pytorch模型来源参考 致谢
快速使用使用建议参数说明模型地址
在线体验
modelscopehuggingface
效果展示
res_show.jpgres_show1.jpg
安装
# 建议使用清华源安装 https://pypi.tuna.tsinghua.edu.cn/simplepipinstallrapid-undistorted
快速使用
importcv2fromrapid_undistorted.inferenceimportInferenceEngineimg_path="img/demo.jpg"engine=InferenceEngine()
# 扭曲修正->去阴影->去模糊 (指定去模糊模型)output_img, elapse=engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
# 去阴影->去模糊 (指定去模糊模型)#output_img, elapse = engine(img_path, ["unshadow", ("unblur", "OpenCvBilateral")])# 默认选择yaml配置文件中第一个unblur模型#output_img, elapse = engine(img_path, ["unshadow", "unblur"])# 二值化替代去阴影方法#output_img, elapse = engine(img_path, ["unwrap", "binarize", "unblur"])print(f"doc unwrap elapse:{elapse}")
cv2.imwrite("result.png", output_img)
使用建议
  • 去模糊 NAFDPM 模型和直接使用opencv方法都有适用的情况,最好还是在线实际测试为准
  • 去阴影模型相对于二值化功能更丰富，效果更好，不建议直接使用二值化方法
参数说明
初始化参数
支持传入一个config配置文件，声明需要的task类型和对应的模型，以及model path
config_path="configs/config.yaml"engine=InferenceEngine(config_path)
tasks:
unwrap:
models:
- type: "UVDoc"path:
use_cuda: falseunshadow:
models:
- type: "GCDnet"sub_models:
- type: "GCDnet"path:
use_cuda: falseuse_dml: false
- type: "DRnet"path:
use_cuda: falsebinarize:
models:
- type: "UnetCnn"path:
use_cuda: falseunblur:
models:
- type: "OpenCvBilateral"path:
- type: "NAFDPM"path:
use_cuda: false
执行参数
engine(img_path, task_list)
engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
致谢
unwrap: UVDoc
unshadow: GCDnet
unblur: NAFDPM
binarize: UnetCnn
贡献指南
欢迎提交请求。对于重大更改，请先打开issue讨论您想要改变的内容。
有其他的好建议和集成场景，作者也会积极响应支持
开源许可证
该项目采用Apache 2.0
开源许可证。
About
修正文档扭曲/模糊/阴影等情况，使用onnx模型简单轻量部署，未来持续跟进最新最好的文档矫正方案和模型,Correct document distortion using a lightweight ONNX model for easy deployment. We will continue to follow and integrate the latest and best document correction solutions and models in the future.
Resources
Readme
Activity
Custom properties
Stars
107 stars
Watchers
3 watching
Forks
10 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
📊RapidUndistort
SemVer2.0GitHub
English | 简体中文
最近更新
  • 2024.11.15
    • 完成初版代码，转换 UVDoc 模型为onnx,完善前后处理
  • 2024.12.15
    • 补充去模糊/去阴影/二值化的功能和模型，重新升级为 RapidUndistort
简介
本仓库用于进行文档扭曲的修正/文档去模糊/文档去阴影/文档二值化等问题 \
提供多种模型和自由组合选择task，支持模型自动下载 

原始pytorch模型来源参考 致谢
快速使用使用建议参数说明模型地址
在线体验
modelscopehuggingface
效果展示
res_show.jpgres_show1.jpg
安装
# 建议使用清华源安装 https://pypi.tuna.tsinghua.edu.cn/simplepipinstallrapid-undistorted
快速使用
importcv2fromrapid_undistorted.inferenceimportInferenceEngineimg_path="img/demo.jpg"engine=InferenceEngine()
# 扭曲修正->去阴影->去模糊 (指定去模糊模型)output_img, elapse=engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
# 去阴影->去模糊 (指定去模糊模型)#output_img, elapse = engine(img_path, ["unshadow", ("unblur", "OpenCvBilateral")])# 默认选择yaml配置文件中第一个unblur模型#output_img, elapse = engine(img_path, ["unshadow", "unblur"])# 二值化替代去阴影方法#output_img, elapse = engine(img_path, ["unwrap", "binarize", "unblur"])print(f"doc unwrap elapse:{elapse}")
cv2.imwrite("result.png", output_img)
使用建议
  • 去模糊 NAFDPM 模型和直接使用opencv方法都有适用的情况,最好还是在线实际测试为准
  • 去阴影模型相对于二值化功能更丰富，效果更好，不建议直接使用二值化方法
参数说明
初始化参数
支持传入一个config配置文件，声明需要的task类型和对应的模型，以及model path
config_path="configs/config.yaml"engine=InferenceEngine(config_path)
tasks:
unwrap:
models:
- type: "UVDoc"path:
use_cuda: falseunshadow:
models:
- type: "GCDnet"sub_models:
- type: "GCDnet"path:
use_cuda: falseuse_dml: false
- type: "DRnet"path:
use_cuda: falsebinarize:
models:
- type: "UnetCnn"path:
use_cuda: falseunblur:
models:
- type: "OpenCvBilateral"path:
- type: "NAFDPM"path:
use_cuda: false
执行参数
engine(img_path, task_list)
engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
致谢
unwrap: UVDoc
unshadow: GCDnet
unblur: NAFDPM
binarize: UnetCnn
贡献指南
欢迎提交请求。对于重大更改，请先打开issue讨论您想要改变的内容。
有其他的好建议和集成场景，作者也会积极响应支持
开源许可证
该项目采用Apache 2.0
开源许可证。
About
修正文档扭曲/模糊/阴影等情况，使用onnx模型简单轻量部署，未来持续跟进最新最好的文档矫正方案和模型,Correct document distortion using a lightweight ONNX model for easy deployment. We will continue to follow and integrate the latest and best document correction solutions and models in the future.
Resources
Readme
Activity
Custom properties
Stars
107 stars
Watchers
3 watching
Forks
10 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

Skip to content
BranchesTags
Repository files navigation
📊RapidUndistort
SemVer2.0GitHub
English | 简体中文
最近更新
  • 2024.11.15
    • 完成初版代码，转换 UVDoc 模型为onnx,完善前后处理
  • 2024.12.15
    • 补充去模糊/去阴影/二值化的功能和模型，重新升级为 RapidUndistort
简介
本仓库用于进行文档扭曲的修正/文档去模糊/文档去阴影/文档二值化等问题 \
提供多种模型和自由组合选择task，支持模型自动下载 

原始pytorch模型来源参考 致谢
快速使用使用建议参数说明模型地址
在线体验
modelscopehuggingface
效果展示
res_show.jpgres_show1.jpg
安装
# 建议使用清华源安装 https://pypi.tuna.tsinghua.edu.cn/simplepipinstallrapid-undistorted
快速使用
importcv2fromrapid_undistorted.inferenceimportInferenceEngineimg_path="img/demo.jpg"engine=InferenceEngine()
# 扭曲修正->去阴影->去模糊 (指定去模糊模型)output_img, elapse=engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
# 去阴影->去模糊 (指定去模糊模型)#output_img, elapse = engine(img_path, ["unshadow", ("unblur", "OpenCvBilateral")])# 默认选择yaml配置文件中第一个unblur模型#output_img, elapse = engine(img_path, ["unshadow", "unblur"])# 二值化替代去阴影方法#output_img, elapse = engine(img_path, ["unwrap", "binarize", "unblur"])print(f"doc unwrap elapse:{elapse}")
cv2.imwrite("result.png", output_img)
使用建议
  • 去模糊 NAFDPM 模型和直接使用opencv方法都有适用的情况,最好还是在线实际测试为准
  • 去阴影模型相对于二值化功能更丰富，效果更好，不建议直接使用二值化方法
参数说明
初始化参数
支持传入一个config配置文件，声明需要的task类型和对应的模型，以及model path
config_path="configs/config.yaml"engine=InferenceEngine(config_path)
tasks:
unwrap:
models:
- type: "UVDoc"path:
use_cuda: falseunshadow:
models:
- type: "GCDnet"sub_models:
- type: "GCDnet"path:
use_cuda: falseuse_dml: false
- type: "DRnet"path:
use_cuda: falsebinarize:
models:
- type: "UnetCnn"path:
use_cuda: falseunblur:
models:
- type: "OpenCvBilateral"path:
- type: "NAFDPM"path:
use_cuda: false
执行参数
engine(img_path, task_list)
engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
致谢
unwrap: UVDoc
unshadow: GCDnet
unblur: NAFDPM
binarize: UnetCnn
贡献指南
欢迎提交请求。对于重大更改，请先打开issue讨论您想要改变的内容。
有其他的好建议和集成场景，作者也会积极响应支持
开源许可证
该项目采用Apache 2.0
开源许可证。
About
修正文档扭曲/模糊/阴影等情况，使用onnx模型简单轻量部署，未来持续跟进最新最好的文档矫正方案和模型,Correct document distortion using a lightweight ONNX model for easy deployment. We will continue to follow and integrate the latest and best document correction solutions and models in the future.
Resources
Readme
Activity
Custom properties
Stars
107 stars
Watchers
3 watching
Forks
10 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
📊RapidUndistort
SemVer2.0GitHub
English | 简体中文
最近更新
  • 2024.11.15
    • 完成初版代码，转换 UVDoc 模型为onnx,完善前后处理
  • 2024.12.15
    • 补充去模糊/去阴影/二值化的功能和模型，重新升级为 RapidUndistort
简介
本仓库用于进行文档扭曲的修正/文档去模糊/文档去阴影/文档二值化等问题 \
提供多种模型和自由组合选择task，支持模型自动下载 

原始pytorch模型来源参考 致谢
快速使用使用建议参数说明模型地址
在线体验
modelscopehuggingface
效果展示
res_show.jpgres_show1.jpg
安装
# 建议使用清华源安装 https://pypi.tuna.tsinghua.edu.cn/simplepipinstallrapid-undistorted
快速使用
importcv2fromrapid_undistorted.inferenceimportInferenceEngineimg_path="img/demo.jpg"engine=InferenceEngine()
# 扭曲修正->去阴影->去模糊 (指定去模糊模型)output_img, elapse=engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
# 去阴影->去模糊 (指定去模糊模型)#output_img, elapse = engine(img_path, ["unshadow", ("unblur", "OpenCvBilateral")])# 默认选择yaml配置文件中第一个unblur模型#output_img, elapse = engine(img_path, ["unshadow", "unblur"])# 二值化替代去阴影方法#output_img, elapse = engine(img_path, ["unwrap", "binarize", "unblur"])print(f"doc unwrap elapse:{elapse}")
cv2.imwrite("result.png", output_img)
使用建议
  • 去模糊 NAFDPM 模型和直接使用opencv方法都有适用的情况,最好还是在线实际测试为准
  • 去阴影模型相对于二值化功能更丰富，效果更好，不建议直接使用二值化方法
参数说明
初始化参数
支持传入一个config配置文件，声明需要的task类型和对应的模型，以及model path
config_path="configs/config.yaml"engine=InferenceEngine(config_path)
tasks:
unwrap:
models:
- type: "UVDoc"path:
use_cuda: falseunshadow:
models:
- type: "GCDnet"sub_models:
- type: "GCDnet"path:
use_cuda: falseuse_dml: false
- type: "DRnet"path:
use_cuda: falsebinarize:
models:
- type: "UnetCnn"path:
use_cuda: falseunblur:
models:
- type: "OpenCvBilateral"path:
- type: "NAFDPM"path:
use_cuda: false
执行参数
engine(img_path, task_list)
engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
致谢
unwrap: UVDoc
unshadow: GCDnet
unblur: NAFDPM
binarize: UnetCnn
贡献指南
欢迎提交请求。对于重大更改，请先打开issue讨论您想要改变的内容。
有其他的好建议和集成场景，作者也会积极响应支持
开源许可证
该项目采用Apache 2.0
开源许可证。
About
修正文档扭曲/模糊/阴影等情况，使用onnx模型简单轻量部署，未来持续跟进最新最好的文档矫正方案和模型,Correct document distortion using a lightweight ONNX model for easy deployment. We will continue to follow and integrate the latest and best document correction solutions and models in the future.
Resources
Readme
Activity
Custom properties
Stars
107 stars
Watchers
3 watching
Forks
10 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
BranchesTags
Repository files navigation
📊RapidUndistort
SemVer2.0GitHub
English | 简体中文
最近更新
  • 2024.11.15
    • 完成初版代码，转换 UVDoc 模型为onnx,完善前后处理
  • 2024.12.15
    • 补充去模糊/去阴影/二值化的功能和模型，重新升级为 RapidUndistort
简介
本仓库用于进行文档扭曲的修正/文档去模糊/文档去阴影/文档二值化等问题 \
提供多种模型和自由组合选择task，支持模型自动下载 

原始pytorch模型来源参考 致谢
快速使用使用建议参数说明模型地址
在线体验
modelscopehuggingface
效果展示
res_show.jpgres_show1.jpg
安装
# 建议使用清华源安装 https://pypi.tuna.tsinghua.edu.cn/simplepipinstallrapid-undistorted
快速使用
importcv2fromrapid_undistorted.inferenceimportInferenceEngineimg_path="img/demo.jpg"engine=InferenceEngine()
# 扭曲修正->去阴影->去模糊 (指定去模糊模型)output_img, elapse=engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
# 去阴影->去模糊 (指定去模糊模型)#output_img, elapse = engine(img_path, ["unshadow", ("unblur", "OpenCvBilateral")])# 默认选择yaml配置文件中第一个unblur模型#output_img, elapse = engine(img_path, ["unshadow", "unblur"])# 二值化替代去阴影方法#output_img, elapse = engine(img_path, ["unwrap", "binarize", "unblur"])print(f"doc unwrap elapse:{elapse}")
cv2.imwrite("result.png", output_img)
使用建议
  • 去模糊 NAFDPM 模型和直接使用opencv方法都有适用的情况,最好还是在线实际测试为准
  • 去阴影模型相对于二值化功能更丰富，效果更好，不建议直接使用二值化方法
参数说明
初始化参数
支持传入一个config配置文件，声明需要的task类型和对应的模型，以及model path
config_path="configs/config.yaml"engine=InferenceEngine(config_path)
tasks:
unwrap:
models:
- type: "UVDoc"path:
use_cuda: falseunshadow:
models:
- type: "GCDnet"sub_models:
- type: "GCDnet"path:
use_cuda: falseuse_dml: false
- type: "DRnet"path:
use_cuda: falsebinarize:
models:
- type: "UnetCnn"path:
use_cuda: falseunblur:
models:
- type: "OpenCvBilateral"path:
- type: "NAFDPM"path:
use_cuda: false
执行参数
engine(img_path, task_list)
engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
致谢
unwrap: UVDoc
unshadow: GCDnet
unblur: NAFDPM
binarize: UnetCnn
贡献指南
欢迎提交请求。对于重大更改，请先打开issue讨论您想要改变的内容。
有其他的好建议和集成场景，作者也会积极响应支持
开源许可证
该项目采用Apache 2.0
开源许可证。
About
修正文档扭曲/模糊/阴影等情况，使用onnx模型简单轻量部署，未来持续跟进最新最好的文档矫正方案和模型,Correct document distortion using a lightweight ONNX model for easy deployment. We will continue to follow and integrate the latest and best document correction solutions and models in the future.
Resources
Readme
Activity
Custom properties
Stars
107 stars
Watchers
3 watching
Forks
10 forks
Report repository
Releases
Packages
Used by
Contributors
Languages

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

Skip to content
BranchesTags
Repository files navigation
📊RapidUndistort
SemVer2.0GitHub
English | 简体中文
最近更新
  • 2024.11.15
    • 完成初版代码，转换 UVDoc 模型为onnx,完善前后处理
  • 2024.12.15
    • 补充去模糊/去阴影/二值化的功能和模型，重新升级为 RapidUndistort
简介
本仓库用于进行文档扭曲的修正/文档去模糊/文档去阴影/文档二值化等问题 \
提供多种模型和自由组合选择task，支持模型自动下载 

原始pytorch模型来源参考 致谢
快速使用使用建议参数说明模型地址
在线体验
modelscopehuggingface
效果展示
res_show.jpgres_show1.jpg
安装
# 建议使用清华源安装 https://pypi.tuna.tsinghua.edu.cn/simplepipinstallrapid-undistorted
快速使用
importcv2fromrapid_undistorted.inferenceimportInferenceEngineimg_path="img/demo.jpg"engine=InferenceEngine()
# 扭曲修正->去阴影->去模糊 (指定去模糊模型)output_img, elapse=engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
# 去阴影->去模糊 (指定去模糊模型)#output_img, elapse = engine(img_path, ["unshadow", ("unblur", "OpenCvBilateral")])# 默认选择yaml配置文件中第一个unblur模型#output_img, elapse = engine(img_path, ["unshadow", "unblur"])# 二值化替代去阴影方法#output_img, elapse = engine(img_path, ["unwrap", "binarize", "unblur"])print(f"doc unwrap elapse:{elapse}")
cv2.imwrite("result.png", output_img)
使用建议
  • 去模糊 NAFDPM 模型和直接使用opencv方法都有适用的情况,最好还是在线实际测试为准
  • 去阴影模型相对于二值化功能更丰富，效果更好，不建议直接使用二值化方法
参数说明
初始化参数
支持传入一个config配置文件，声明需要的task类型和对应的模型，以及model path
config_path="configs/config.yaml"engine=InferenceEngine(config_path)
tasks:
unwrap:
models:
- type: "UVDoc"path:
use_cuda: falseunshadow:
models:
- type: "GCDnet"sub_models:
- type: "GCDnet"path:
use_cuda: falseuse_dml: false
- type: "DRnet"path:
use_cuda: falsebinarize:
models:
- type: "UnetCnn"path:
use_cuda: falseunblur:
models:
- type: "OpenCvBilateral"path:
- type: "NAFDPM"path:
use_cuda: false
执行参数
engine(img_path, task_list)
engine(img_path, ["unwrap", "unshadow", ("unblur", "OpenCvBilateral")])
致谢
unwrap: UVDoc
unshadow: GCDnet
unblur: NAFDPM
binarize: UnetCnn
贡献指南
欢迎提交请求。对于重大更改，请先打开issue讨论您想要改变的内容。
有其他的好建议和集成场景，作者也会积极响应支持
开源许可证
该项目采用Apache 2.0
开源许可证。
About
修正文档扭曲/模糊/阴影等情况，使用onnx模型简单轻量部署，未来持续跟进最新最好的文档矫正方案和模型,Correct document distortion using a lightweight ONNX model for easy deployment. We will continue to follow and integrate the latest and best document correction solutions and models in the future.
Resources
Readme
Activity
Custom properties
Stars
107 stars
Watchers
3 watching
Forks
10 forks
Report repository
Releases
Packages
Used by
Contributors
Languages